What Country, University, or Research Institute, Performed the Best on Covid-19 During the First Wave of the Pandemic?: Bibliometric analysis of scientific literature - analysing a 'snapshot in time' of the first wave of COVID-19

Petar Radanliev; David De Roure; Rob Walton; Max Van Kleek; Omar Santos; La'Treall Maddox

doi:10.1007/s40745-022-00406-8

What Country, University, or Research Institute, Performed the Best on Covid-19 During the First Wave of the Pandemic?: Bibliometric analysis of scientific literature - analysing a 'snapshot in time' of the first wave of COVID-19

Ann Data Sci. 2022;9(5):1049-1067. doi: 10.1007/s40745-022-00406-8. Epub 2022 Jun 28.

Authors

Petar Radanliev¹, David De Roure¹, Rob Walton¹, Max Van Kleek², Omar Santos³, La'Treall Maddox³

Affiliations

¹ Department of Engineering Sciences, University of Oxford, Oxford, England, UK.
² Department of Computer Science, University of Oxford, Oxford, England, UK.
³ Cisco Research Centre, Research Triangle Park, North Carolina USA.

Abstract

In this article, we conduct data mining and statistical analysis on the most effective countries, universities, and companies, based on their output (e.g., produced or collaborated) on COVID-19 during the first wave of the pandemic. Hence, the focus of this article is on the first wave of the pandemic. While in later stages of the pandemic, US and UK performed best in terms of vaccine production, the focus in this article is on the initial few months of the pandemic. The article presents findings from our analysing of all available records on COVID-19 from the Web of Science Core Collection. The results are compared with all available data records on pandemics and epidemics from 1900 to 2020. This has created interesting findings that are presented in the article with visualisation tools.

Supplementary information: The online version contains supplementary material available at 10.1007/s40745-022-00406-8.

Keywords: Big data analytics; COVID-19; Computation; Data mining; Disease; Epidemic; Pandemic; Statistics; Virus.